Sökning: "Machine safety"
Visar resultat 11 - 15 av 329 uppsatser innehållade orden Machine safety.
11. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER
12. Riskbedömning av Cobot och integrering av verktyg
Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : Examensarbetet berör maskinsäkerhet och riskbedömning på en kollaborativ robotapplikation. Målet är att utföra en riskbedömning med hjälp av CEDOC som är ett riskbedömningsprogram. Studierna har resulterat till tre säkerhetsaspekter som bör tas i hänsyn vid implementering av samverkande robotar utifrån maskinsäkerhetsperspektivet. . LÄS MER
13. Designing and Implementing a Human-Machine Interface in Safe Plug and Produce Systems
Master-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : This thesis introduces a Human-Machine Interface (HMI) developed to enhance safety and efficiency in Configurable Multiagent Systems (CMAS) operating in Plug-and-Produce robot cells. The HMI addresses challenges related to flexible CMAS configurations, specifically addressing collision detection difficulties. LÄS MER
14. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. LÄS MER
15. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. LÄS MER